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Omnicom Group

Global marketing, media, and PR network

Architect – Data Engineering

Data EngineeringConfirmed live in the last 24 hours
Full-timeAddison, TX, USA$130k - $170kHybrid

About the Job

Requirements

  • Have a minimum of 5 years of technical, hands-on experience building, optimizing, and implementing data pipelines and architecture.
  • Have experience leading teams to wrangle, explore, and analyze data to answer specific business questions and identify opportunities for improvement.
  • Have a passion for leading teams and providing both formal and informal mentorship.
  • Have strong communication and interpersonal skills, and the ability to engage customers at a business level in addition to a technical level.
  • Have a deep understanding of data governance and data privacy best practices.
  • Incorporate AI tooling, efficiencies, and code assistance tooling in everyday workflows.
  • Have a degree in Computer Science, Computer Engineering, Engineering, Mathematics, Management Information Systems, or a related field of study.
  • Thrive in a fast-paced, dynamic, client-facing role where delivering solid work products to exceed high expectations is a measure of success.
  • Contribute in a team-oriented environment.
  • Prioritize multiple tasks to consistently meet deadlines.
  • Creatively solve problems in an analytical environment.
  • Adapt to new environments, people, technologies, and processes.
  • Excel in leadership, communication, and interpersonal skills.
  • Establish strong work relationships with clients and team members.
  • Generate ideas and understand different points of view.
  • Be authorized to work in the United States without employment-based visa sponsorship now or in the future.

Responsibilities

  • Lead teams in implementing modern data architecture, data engineering pipelines, and advanced analytical solutions.
  • Design and implement data platform approaches, including Lakehouse, DataOps, and Data Mesh, using best practices and cloud solutions.
  • Build scalable data and machine learning pipelines, democratize data through modern governance approaches, and deliver data products using machine learning, visualization, and integration approaches.
  • Act as the primary architect and technical lead on projects to scope and estimate work streams, architect and model technical solutions to meet business requirements, serve as a technical expert in client communications, and mentor junior project team members.
  • Participate in design sessions, build data structures for an enterprise data lake or statistical models for a machine learning algorithm, coach junior resources, and manage technical backlogs and release management tools.
  • Seek out new business development opportunities at existing and new clients.

Desired Qualifications

  • Have recent technical knowledge of programming languages such as Python, Spark, Java, C++, and Scala.
  • Have recent technical knowledge of SQL and NoSQL databases such as MySQL, DynamoDB, CosmosDB, Cassandra, and MongoDB.
  • Have recent technical knowledge of data pipeline and workflow management tools such as Airflow, Dagster, AWS Step Functions, and Azure Data Factory.
  • Have recent technical knowledge of stream-processing systems such as Storm, Spark Streaming, Pulsar, and Flink.
  • Have recent technical knowledge of data warehouse design and technologies such as Databricks, Snowflake, Delta Lake, Lake Formation, and Iceberg.
  • Have recent technical knowledge of MLOps platforms such as SageMaker, Azure ML, Vertex AI, and MLflow.
  • Have recent technical knowledge of container orchestration tools such as Kubernetes and Docker Swarm.
  • Have recent technical knowledge of metadata management tools such as Collibra, Atlas, and DataHub.
  • Have experience with data platform components on one or more of AWS, Google Cloud Platform, or Azure.

About the Company

Omnicom Group

Global marketing, media, and PR network

Omnicom Group is a global marketing and corporate communications holding company that organizes a network of agencies to offer advertising, strategic media planning and buying, digital marketing, and public relations. Its products and services are delivered through this portfolio of agency networks and specialty firms, generating revenue from project-based fees, commissions, and performance-based incentives. The company uses the Omni platform to base marketing and sales solutions on data, helping turn insights into creative campaigns and media plans. Unlike many competitors, Omnicom combines a wide international footprint with a diversified set of agencies and a centralized data-driven approach, and it expands through strategic acquisitions. Its goal is to help clients grow brands and businesses by delivering coordinated, data-informed marketing and communications across markets worldwide.

Company size
5,001-10,000
Company stage
IPO
Headquarters
New York City, New York
Founded
1944

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